Exploring wind data using the Meteostat Python API:

Source: Meteostat Python API

Group Members: Travis, Ira, Micah

Course: Data Science

Goal: Use ML models to predict wind trends in distinct U.S. regions

Key Variables
  • wspd: Average wind speed (mph)
  • wdir: Mean wind direction (degrees)
  • coco: Condition Code

Time Period: 2024

Frame: Hourly and Daily


Regional Wind Analysis by Speed and Direction
Hourly Averages 2024 | Data: Meteostat
latitude longitude Wind Statistics
Speed (mph) Direction (°)
Midwest
Cleveland, OH 41.4993 -81.6944 40.1 227.0
Chicago, IL 41.8781 -87.6298 35.4 259.0
Detroit, MI 42.3314 -83.0458 34.8 248.0
Milwaukee, WI 43.0389 -87.9065 33.9 297.0
Minneapolis, MN 44.9778 -93.265 28.2 307.0
Northeast
Buffalo, NY 42.8864 -78.8784 46.0 243.0
Boston, MA 42.3601 -71.0589 38.2 278.0
Philadelphia, PA 39.9526 -75.1652 31.0 297.0
Pittsburgh, PA 40.4406 -79.9959 25.3 299.0
New York, NY 40.7128 -74.006 23.8 300.0
Southeast
Jacksonville, FL 30.3322 -81.6557 32.5 81.0
Miami, FL 25.7617 -80.1918 29.4 81.0
Tampa, FL 27.9506 -82.4572 26.0 49.0
Charlotte, NC 35.2271 -80.8431 22.7 319.0
Atlanta, GA 33.749 -84.388 17.8 357.0
West
Denver, CO 39.7392 -104.9903 30.2 180.0
San Francisco, CA 37.7749 -122.4194 29.9 294.0
Los Angeles, CA 34.0522 -118.2437 24.6 208.0
Portland, OR 45.5152 -122.6784 24.4 333.0
Seattle, WA 47.6062 -122.3321 18.6 191.0
Legend: 🔵North 🔴East 🟡South 🟢West | Darker = Stronger



R²: 0.620057846963885
RMSE: 54.64698786819519

  1. How do weather patterns change by region?

  2. What are some case studies of extreme weather?

  3. How do geographical features (lakes, oceans, mountains, deserts, plains) impact weather patterns?